Diffusers-in-ComfyUI
A collection of ComfyUI custom nodes that allow to use most Diffusers pipelines and components in Comfy(Txt2Img, Img2Img, Inpainting, LoRAS, B-LoRAS, ControlNet...)
Quick Technical Summary: Diffusers-in-ComfyUI
- Base VRAM Footprint:
- 2048 MB (6 GB Tier)
- Primary Dependencies:
- diffusers@ git+https://github.com/huggingface/diffusers@6131a93b969f87d171148bd367fd9990d5a49b6b, opencv-python==4.10.0.84, peft==0.14.0, torchvision, transformers<5
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/maepopi/Diffusers-in-ComfyUI
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does Diffusers-in-ComfyUI require?
Direct Answer: The ComfyUI node Diffusers-in-ComfyUI requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 2048MB (2.0GB)
- Recommended GPU:
- 6GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for Diffusers-in-ComfyUI:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
Tired of renting cloud rigs? Run ComfyUI locally with absolute zero latency. Best entry-level ComfyUI experience. Avoids immediate VRAM limitations on basic LoRA training.
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Help your users avoid out-of-memory errors by displaying this professional, dynamic VRAM badge on your GitHub README. Copy the markdown below to embed it with a backlink directly to this hardware specification profile.
What Python packages are required for Diffusers-in-ComfyUI?
Direct Answer: Running Diffusers-in-ComfyUI requires installing the following Python package dependencies: diffusers@ git+https://github.com/huggingface/diffusers@6131a93b969f87d171148bd367fd9990d5a49b6b, opencv-python==4.10.0.84, peft==0.14.0, torchvision, transformers<5. Ensure your ComfyUI environment has these packages active before launching.
diffusers@ git+https://github.com/huggingface/diffusers@6131a93b969f87d171148bd367fd9990d5a49b6b
opencv-python==4.10.0.84
peft==0.14.0
torchvision
transformers<5Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Diffusers-in-ComfyUI require?
Diffusers-in-ComfyUI requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run Diffusers-in-ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom
How much VRAM does Diffusers-in-ComfyUI take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), Diffusers-in-ComfyUI runs smoothly on an RTX 3060 (12GB) with 8.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 19.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What PyTorch version does Diffusers-in-ComfyUI need?
Diffusers-in-ComfyUI requires the following PyTorch-related packages: torchvision. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for Diffusers-in-ComfyUI?
To run Diffusers-in-ComfyUI, you need to install: diffusers@ git+https://github.com/huggingface/diffusers@6131a93b969f87d171148bd367fd9990d5a49b6b, opencv-python==4.10.0.84, peft==0.14.0, torchvision, transformers<5. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Diffusers-in-ComfyUI?
Diffusers-in-ComfyUI supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install Diffusers-in-ComfyUI in ComfyUI?
To install Diffusers-in-ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/maepopi/Diffusers-in-ComfyUI, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.